Patient Medical Data for Novel Coronavirus 2019-nCoV from Wuhan, China

2020 ◽  
Author(s):  
Keyword(s):  
Medical Data ◽  
Novel Coronavirus

scholarly journals Cryptographic Engineering on COVID-19 Telemedicine: An Intelligent Transmission Through Recurrent Relation Based Session Key

2021 ◽  
Author(s):  
JOYDEEP DEY ◽  
ANIRBAN BHOWMIK ◽  
ARINDAM SARKAR ◽  
SUNIL KARFORMA ◽  
BAPPADITYA CHOWDHURY
Keyword(s):  
Confusion Matrix ◽  
Vascular Diseases ◽  
Medical Data ◽  
Medical Sciences ◽  
Session Key ◽  
Non Invasive ◽  
Matrix Operations ◽  
Different Types ◽  
Cardio Vascular ◽  
Novel Coronavirus

Abstract Constraints imposed due to the cameo of the novel coronavirus has abruptly changed the operative mode of medical sciences. Most of the hospitals have migrated towards the telemedicine mode of services of the non-invasive and non-emergency patients during the COVID-19 time. The advent of telemedicine services has remotely rendered health services to different types of patients from their quarantines. Here, the patients’ medical data has to be transmitted to different physicians / doctors. Such data are to be secured with a view to restore its privacy clause. Cardio vascular diseases (CVDs) are a kind of cardiac disease related to blockage of arteries and veins. This paper presents an intelligent and secured transmission of cardiac reports of the patients through recurrence relation based session key. Such reports were made through the following confusion matrix operations. The beauty of this technique is that confusion matrices are transferred to specified number of cardiologists with further secret shares encapsulation. The case of robustness checking, transparency and cryptographic engineering has been tested under different inputs. Different types of result and its analysis proves the efficiency of the proposed technique. It will provide more security in medical data transmission, especially in the needy hours of COVID-19 pandemic.

Ergebnisse der COVID-19-Umfrage der Deutschen Gesellschaft für Rehabilitationswissenschaften e.V. (DGRW)

2020 ◽  
Vol 59 (05) ◽  
pp. 315-317
Author(s):  
Thorsten Meyer ◽  
Elain Posthumus ◽  
Keyword(s):  
Public Health ◽  
Global Literature ◽  
Novel Coronavirus

Hintergrund und ZielCOVID-19 stellt eine substanzielle Bedrohung der Gesundheit und in der Folge auch der Lebensbedingungen der Menschen weltweit dar. Die Erkrankung entsteht infolge einer Infektion mit dem neuartigen Coronavirus SARS-CoV-2. Erkenntnisse über molekulare Grundlagen, Pathophysiologie, klinische Charakteristika, Epidemiologie, aber auch Ressourcenbedarf und Outcomes (z. B. Karagiannidis et al. 2020; zur Übersicht s. Website der WHO: https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/) wachsen in beispiellos kurzem Zeitraum weltweit an, auch im Feld der Rehabilitation (vgl. Negrini et al. 2020). Die Erkenntnisse münden in Leitlinien, Policy Briefs oder konkreten Handlungsempfehlungen (vgl. Publikationen des Kompetenznetz Public Health COVID-19, www.public-health-covid19.de).

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

Medical Data, Information, and Knowledge

1988 ◽  
Vol 27 (03) ◽  
pp. 109-110 ◽  
Author(s):  
J. H. van Bemmel
Keyword(s):  
Medical Data

Experience in Applying Hyperbaric Oxygen Therapy Using Portable Pressure Chambers for the Treatment of Patients with the Novel Coronavirus Infection COVID-19

Biomeditsina ◽  
2020 ◽  
pp. 39-46
Author(s):  
A. S. Samoilov ◽  
Yu. D. Udalov ◽  
M. V. Sheyanov ◽  
A. V. Gholinsky ◽  
A. B. Litvinenko
Keyword(s):  
Oxygen Saturation ◽  
Hyperbaric Oxygen ◽  
Hyperbaric Oxygen Therapy ◽  
Oxygen Therapy ◽  
Capillary Blood ◽  
Blood Hemoglobin ◽  
Patient Groups ◽  
Radiological Changes ◽  
Coronavirus Infection ◽  
Novel Coronavirus

This communication presents the experience of using mobile pressure chambers in patients with the confi rmed novel coronavirus infection in hospital settings. The obtained preliminary results indicate positive antihypoxic effects of hyperbaric oxygen therapy (HBO) applied in the form of increased saturation. After a session of HBO, patients demonstrated an increase in the oxygen saturation of capillary blood hemoglobin at the average level of 3.71 points. Differences between SatO2 levels prior to and following HBO treatment were signifi cant in the CT2, CT3 and CT4 groups (p0.05). As expected, the effi cacy of HBO in terms of the oxygen saturation of capillary blood hemoglobin was the greatest in the patient groups showing pronounced clinical and radiological changes in the lungs.

Drug Repurposing Studies Targeting SARS-nCoV2: An Ensemble Docking Approach on Drug Target 3C-like Protease (3CLpro)

2020 ◽  
Author(s):  
Shruti Koulgi ◽  
Vinod Jani ◽  
Mallikarjunachari Uppuladinne ◽  
Uddhavesh Sonavane ◽  
Asheet Kumar Nath ◽  
...  
Keyword(s):  
Drug Repurposing ◽  
Drug Binding ◽  
Ensemble Docking ◽  
Drug Molecules ◽  
Drug Binding Site ◽  
Main Protease ◽  
Docking Approach ◽  
Novel Coronavirus ◽  
Markov State Modeling ◽  
Viral Polyprotein

<p>The COVID-19 pandemic has been responsible for several deaths worldwide. The causative agent behind this disease is the Severe Acute Respiratory Syndrome – novel Coronavirus 2 (SARS-nCoV2). SARS-nCoV2 belongs to the category of RNA viruses. The main protease, responsible for the cleavage of the viral polyprotein is considered as one of the hot targets for treating COVID-19. Earlier reports suggest the use of HIV anti-viral drugs for targeting the main protease of SARS-CoV, which caused SARS in the year 2002-03. Hence, drug repurposing approach may prove to be useful in targeting the main protease of SARS-nCoV2. The high-resolution crystal structure of 3CL<sup>pro</sup> (main protease) of SARS-nCoV2 (PDB ID: 6LU7) was used as the target. The Food and Drug Administration (FDA) approved and SWEETLEAD database of drug molecules were screened. The apo form of the main protease was simulated for a cumulative of 150 ns and 10 μs open source simulation data was used, to obtain conformations for ensemble docking. The representative structures for docking were selected using RMSD-based clustering and Markov State Modeling analysis. This ensemble docking approach for main protease helped in exploring the conformational variation in the drug binding site of the main protease leading to efficient binding of more relevant drug molecules. The drugs obtained as best hits from the ensemble docking possessed anti-bacterial and anti-viral properties. Small molecules with these properties may prove to be useful to treat symptoms exhibited in COVID-19. This <i>in-silico</i> ensemble docking approach would support identification of potential candidates for repurposing against COVID-19.</p>

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